Dwiprima Elvanny Myori
Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Padang, Indonesia

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Flood Early Detection Using Internet of Things Based on Flood-Ramped Areas Tommy Rizky Alfajri; Habibullah; Hastuti; Dwiprima Elvanny Myori
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/1pw2d618

Abstract

Indonesia is a tropical country that experiences very high rainfall. Very heavy rainfall is the reason for flooding. During the rainy season, continuous rain causes the volume of water in the river to increase and has the potential to cause flooding in several areas. Therefore, an early flood detection tool is needed as an alarm to detect and monitor the increase in water volume in the river and as a measure of rainfall that occurs by utilizing Internet of Things technology to make it easier for people to obtain information about the flood alert status in the area. This early flood detection tool method uses the JSN-SR04T sensor which is used to measure the water level in the river, the YL-83 sensor which is used to estimate the rainfall that occurs, Telegram as an Internet of Things media, and Solar panels as Off Grid PLTS. After testing and analyzing the early flood detection tool using ESP8266 based on the Internet of Things in flood-prone areas, the conclusion is that the early flood detection tool works well and the results achieved are in accordance with the function and work of the tool
Real-time Identification of Electric Motor Faults Using Arduino Ilham Sabri Alamsyah; Dwiprima Elvanny Myori; Ichwan Yelfianhar; Rahmat Hidayat
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/

Abstract

The reliability of electric motors is very important in various industries. Damage to electric motors caused by disturbances that are not detected early results in large losses, both in terms of time and cost. This research aims to design and build an Arduino-based electric motor fault detection device equipped with a PZEM-004t sensor, buzzer as an alarm, relay to turn off the motor when there is a disturbance and LCD I2C 16x2 to display the measured value. This tool is designed to provide protection to the motor from overvoltage, undervoltage and overcurrent disturbances. Based on the results of testing and analysis, the designed tool can detect and protect the motor from interference. The buzzer functions effectively as an alarm when the voltage and current values are close to the fault occurrence value. The relay can respond well in breaking the current in the motor when a disturbance occurs. Thus, this tool has the potential to be applied as a practical solution in preventing damage to electric motors in industrial environments